Zemberek POS Tagger

This node assigns a part of speech (POS) tag to each term of a document. Therefore the primary POS tag set from ZemberekNLP is used, for details click here. The underlying tagger deciding what tag to assign to which term is based on the ZemberekNLP framework version 0.15.0 (details).
Note: To avoid unwanted behavior, it is highly recommended to use this node only with documents that have been tokenized with the Zemberek TurkishTokenizer.

Options

General options

Document column
The column containing the documents to tag.
Replace column
If checked, the documents of the selected document column will be replaced by the new tagged documents. Otherwise the tagged documents will be appended as new column.
Append column
The name of the new appended column, containing the tagged documents.
Word tokenizer
Select the tokenizer used for word tokenization. Go to Preferences -> KNIME -> Textprocessing to read the description for each tokenizer.
Note: Currently there is only the Zemberek TurkishTokenizer available for this node, since other tokenizer might cause undesired behavior.
Number of maximal parallel tagging processes
Defines the maximal number of parallel threads that are used for tagging. Please note, that for each thread a tagging model will be loaded into memory. If this value is set to a number greater than 1, make sure that enough heap space is available, in order to be able to load the models. If you are not sure how much heap is available for KNIME, leave the number to 1.

Input Ports

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The input table containing the documents to tag.

Output Ports

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An output table containing the tagged documents.

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